Objective: To explore potential causes of male infertility by determining the composition and structure of commensal bacterial communities in seminal fluids. Design: Microscopy of gram stained semen samples and classification of 16S rRNA gene sequences to determine the species composition of semen bacterial communities. Setting(s): Clinical andrology laboratory and academic research laboratories. Patient(s): 19 sperm donors and 58 infertility patients. Intervention(s): None. Main Outcome Measure(s): Classification of 16S rRNA gene sequences, clustering of seminal microbial communities, and multiple statistical tests. Result(s): High numbers of diverse kinds of bacteria were present in most samples of both sperm donors and infertility patients. The bacterial communities varied widely between subjects, but they could be clustered into six groups based on similarities in composition and the rank abundances of taxa. Overall there were no significant differences between sperm donors and infertility patients. However, multiple statistical tests showed a significant negative association between sperm quality and the presence of Anaerococcus. The results also indicated that many of the bacterial taxa identified in semen also occur in the vaginal communities of some women, especially those with bacterial vaginosis, which suggests heterosexual sex partners may share bacteria. Conclusion(s): Diverse kinds of bacteria were present in the human semen, there were no significant differences between sperm donors and infertility patients, The presence of Anaerococcus might be a biomarker for low sperm quality.

The throat is an ecological assemblage involved human cells and microbiota, and the colonizing bacteria are important factors in balancing this environment. However, this bacterial community profile has thus been poorly investigated. The purpose of this study was to investigate the microbial biology of the larynx and to analyze the throat biodiversity in laryngeal carcinoma patients compared to a control population in a case-control study. Barcoded pyrosequencing analysis of the 16S rRNA gene was used. We collected tissue samples from 29 patients with laryngeal carcinoma and 31 control patients with vocal cord polyps. The findings of high-quality sequence datasets revealed 218 genera from 13 phyla in the laryngeal mucosa. The predominant communities of phyla in the larynx were Firmicutes (54%), Fusobacteria (17%), Bacteroidetes (15%), Proteobacteria (11%), and Actinobacteria (3%). The leading genera were Streptococcus (36%), Fusobacterium (15%), Prevotella (12%), Neisseria (6%), and Gemella (4%). The throat bacterial compositions were highly different between laryngeal carcinoma subjects and control population (p = 0.006). The abundance of the 26 genera was significantly different between the laryngeal cancer and control groups by metastats analysis (p<0.05). Fifteen genera may be associated with laryngeal carcinoma by partial least squares discriminant analysis (p<0.001). In summary, this study revealed the microbiota profiles in laryngeal mucosa from tissue specimens. The compositions of bacteria community in throat were different between laryngeal cancer patients and controls, and probably were related with this carcinoma. The disruption of this bio-ecological niche might be a risk factor for laryngeal carcinoma.

The compositions and abundances of the microbiota in the ecological niche of the human throat and the possible relationship between the microbiota and laryngeal cancer are poorly understood. To obtain insight into this, we enrolled 27 laryngeal carcinoma patients and 28 subjects with vocal cord polyps as controls. For each subject, we simultaneously collected swab samples from the upper throat near the epiglottis (site I) and tissue samples from the vestibulum laryngis to the subglottic region (site II). The microbiota of the throat were fully characterized by pyrosequencing of barcoded 16S rRNA genes. We found 14 phyla, 20 classes, 38 orders, 85 families, and 218 genera in the throats of enrolled subjects. The main phyla were Firmicutes (54.7%), Fusobacteria (14.8%), Bacteroidetes (12.7%), and Proteobacteria (10.6%). Streptococcus (37.3%), Fusobacterium (11.3%), and Prevotella (10.6%) were identified as the three most predominant genera in the throat. The relative abundances of 23 bacterial genera in site I were significantly different from those in site II (P < 0.05). The relative proportions of 12 genera largely varied between laryngeal cancer patients and control subjects (P < 0.05). Collectively, this study outlined the spatial structure of microbial communities in the human throat. The spatial structure of bacterial communities significantly varied in two anatomical sites of the throat. The bacterial profiles of the throat of laryngeal cancer patients were strongly different from those of control subjects, and several of these microorganisms may be related to laryngeal carcinoma.

The microbial communities that inhabit the laryngeal mucosa build stable microenvironments and have the potential to influence the health of the human throat. However, the associations between the microbiota structure and laryngeal carcinoma remain uncertain. Here, we explored this question by comparing the laryngeal microbiota structure in laryngeal cancer patients with that in control subjects with vocal cord polyps through high-throughput pyrosequencing. Overall, the genera Streptococcus, Fusobacterium, and Prevotella were prevalent bacterial populations in the laryngeal niche. Tumor tissue samples and normal tissues adjacent to the tumor sites (NATs) were collected from 31 laryngeal cancer patients, and the bacterial communities in laryngeal cancer patients were compared with control samples from 32 subjects. A comparison of the laryngeal communities in the tumor tissues and the NATs showed higher α-diversity in cancer patients than in control subjects, and the relative abundances of seven bacterial genera differed among the three groups of samples. Furthermore, the relative abundances of ten bacterial genera in laryngeal cancer patients differed substantially from those in control subjects. These findings indicate that the laryngeal microbiota profiles are altered in laryngeal cancer patients, suggesting that a disturbance of the microbiota structure might be relevant to laryngeal cancer.The human microbiota can be considered an organ composed of mixed species with functions that enable the construction of a polymicrobial assemblage 1, 2 . Microbial communities are abundant and relatively stable in the human body, which is constantly exposed to these microbial factors, and these communities play a fundamental role in regulating the health and physiology of the host via cooperative and competitive interactions [3][4][5] . Indeed, aberrations in the microbiota profiles play causative roles in the development of many clinical diseases, such as periodontitis, obesity, inflammatory bowel disease, diabetes mellitus, metabolic syndrome, atherosclerosis, and liver cirrhosis [6][7][8][9][10][11][12] . Specifically, differences in the relative abundance of certain microbial communities have been observed in cancer patients, indicating that disturbances in this multispecies synergy might be an important factor related to tumorigenesis [13][14][15] . Recently, the use of animal models possessing the same molecular pathway mechanisms observed in vivo has suggested that disruption of the microbiota can promote tumor initiation and development [16][17][18] . However, the mechanisms through which microbial factors influence susceptibility to laryngeal carcinoma remain elusive. Laryngeal carcinoma is one of the most common malignancies of the head and neck, and squamous cell carcinoma is the most frequent histological type of laryngeal carcinoma, accounting for 98% of cases 19,20 . The main risk factors for this cancer include tobacco smoking and alcohol consumption, and the roles of these risk factors have been consistentl...

In order to predict related risk factors for lymph node metastasis (LNM) in patients with superficial esophageal carcinoma (SEC) and provide reference for endoscopic minimally invasive treatment, we included a total of 93 patients with superficial esophageal carcinoma who have underwent esophagectomy and lymph node dissection from 2010 to 2015. The depth of invasion was remeasured and classified into 6 groups according to their wall penetration. The prediction model was founded based on the independent risk factors. The results shows that lymph node metastasis of m1, m2, m3, sm1, sm2, and sm3 of superficial esophageal carcinoma was 0%, 0%, 5.3%, 8.7%, 17.6%, and 37.5%, respectively. The tumor size, differentiation, and lymphvascular invasion were also significantly related to lymph node metastasis by univariate analysis. Multivariate analysis showed that the depth of invasion and lymphovascular invasion were independent risk factors of lymph node metastasis. A prediction model for lymph node metastasis was established as follows: p = e x/(1 + e x), and x = −5.469 + 0.839 × depth of invasion + 1.992 × lymphavascular metastasis. The area under ROC curve was 0.858 (95% CI: 0.757–0.959). It was also shown that the depth of invasion was related to tumor differentiation, macroscopic type, and tumor size.